Collection by
Mar 7, 2024
Mar 7, 2024
Collections
Discover the best community collections!
Collections including paper arxiv:2403.03853
Collection by
Oct 12, 2024
Oct 12, 2024
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Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters
Paper • 2403.02677 • Published • 18 -
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
Paper • 2403.03003 • Published • 11 -
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding
Paper • 2403.01487 • Published • 15 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 45
Collection by
12 days ago
12 days ago
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Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 50 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 45 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 23
Collection by
Sep 9, 2024
Sep 9, 2024
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 50 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 138 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 19
Collection by
Oct 7, 2024
Oct 7, 2024
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 609 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 185 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
ResLoRA: Identity Residual Mapping in Low-Rank Adaption
Paper • 2402.18039 • Published • 11
Collection by
Nov 1, 2024
Nov 1, 2024
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A Language Model's Guide Through Latent Space
Paper • 2402.14433 • Published • 1 -
The Hidden Space of Transformer Language Adapters
Paper • 2402.13137 • Published -
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
Paper • 2402.16438 • Published -
AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 13
Collection by
Jun 16, 2024
Jun 16, 2024
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Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47 -
Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 6 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 21 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 609
Collection by
Apr 12, 2024
Apr 12, 2024
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User-LLM: Efficient LLM Contextualization with User Embeddings
Paper • 2402.13598 • Published • 20 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 63 -
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
Paper • 2404.07544 • Published • 20
Collection by
Mar 7, 2024
Mar 7, 2024
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Shortened LLaMA: A Simple Depth Pruning for Large Language Models
Paper • 2402.02834 • Published • 16 -
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 49 -
PB-LLM: Partially Binarized Large Language Models
Paper • 2310.00034 • Published • 1 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 63
Collection by
Jul 7, 2024
Jul 7, 2024
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Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
Paper • 2402.03162 • Published • 19 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 63 -
OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
Paper • 2407.02371 • Published • 51